Course curriculum

  • 1
    Introduction to Computer Vision
    • Introduction to Computer Vision
    • Course Handouts
    • Pixel Perfect Decoding Images
    • Understanding a CNN - Convolutional Layer
    • Hands on - Image Processing Techniques
    • Understanding a CNN - Striding and Pooling
    • Understanding a CNN - Pooling Layer
    • Quiz
  • 2
    Building Blocks for Image Recognition
    • A Journey Through Pioneering Architectures
    • LeNet
    • LeNet - Hands On
    • AlexNet
    • VGG
    • Transfer Learning using VGG16
    • Image Augmentation using VGG16
    • Inception
    • ResNet
    • DenseNet
    • EfficientNet
    • Quiz
    • Your Feedback Matters!

Introduction to Computer Vision using PyTorch

This course will help you gain a deep understanding of Computer Vision and build advanced CV models using the PyTorch framework. With a carefully curated list of resources and exercises, this course is your guide to becoming a Computer Vision expert. Master techniques like convolutional neural networks, image classification and object detection.

Who Should Enroll:

  • Professionals: Individuals looking to expand their skill set and leverage CV across different industries.
  • Aspiring Students: For those setting out on their journey to master image data analysis and leave a mark in the tech world.

Key Takeaways from the course

  • Learn Computer Vision techniques and build real-world CV Models.

  • Hands-On Experience: Engage with exercises designed to reinforce your learning and apply concepts in real-world scenarios.

What do I need to start the course

  • A working laptop/desktop and an internet connection

  • Deep Learning with Pytorch course